Automation index
How much of a Data architect’s job can AI already do?
A lake diagram comes earlier. Data that can be used, and does not rot, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Data architect
28%
AI can already do 28% of this job.
#83 / 683
View rankingData architect
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511
IS WORK OVER?
University careers adviser
27%
#181 / 683
View rankingUniversity careers adviser
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Workshop, the CV and the letter.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Appointment, the one who does not know and the one who wants everything.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Placement, the firm and not selling smoke.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Fair, the contact and the one who will not approach.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The dean, insertion and not dressing the rate.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A plan, and not panic.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- university CVs
- cover letters
- placements
- jobs fairs
- graduate insertion
- careers appointments
- not sell smoke
- workshops
Sources for this job· O*NET 21-1012.00· ESCO/ISCO 2423